Add neonatal_wt dataset (neonatal weight progression) - #10
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Longitudinal neonatal body weight for 189 neonates (1120 obs) with 5 covariates (Sex, DelM, GA, Mage, Para2), the second case study in Rohleff et al. (2025) on VAE-based NLME modeling. No dosing (turnover growth model with an estimated initial weight), so every record is an observation (EVID=0). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CWzfXji5F2nmr34AUa7Ntu
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Adds the neonatal_wt dataset: longitudinal neonatal body weight for 189 neonates (1120 observations) with 5 covariates (Sex, DelM, GA, Mage, Para2).
This is the second case study in Rohleff et al. (2025) on VAE-based nonlinear mixed-effects modeling, used to validate the new
est="vae"method innlmixr2est. Body weight follows a turnover (zero-order production, first-order elimination) growth model whose initial weight is an estimated parameter, so there is no dosing and every record is an observation (EVID=0).data/neonatal_wt.rda(nlmixr2-formatted: ID, TIME, DV, EVID, Sex, DelM, GA, Mage, Para2)R/data_neonatal_wt.R+ generatedman/neonatal_wt.Rd🤖 Generated with Claude Code
https://claude.ai/code/session_01CWzfXji5F2nmr34AUa7Ntu